首页> 外文期刊>Estuarine Coastal and Shelf Science >Simple processes drive unpredictable differences in estuarine fish assemblages: Baselines for understanding site-specific ecological and anthropogenic impacts
【24h】

Simple processes drive unpredictable differences in estuarine fish assemblages: Baselines for understanding site-specific ecological and anthropogenic impacts

机译:简单的过程会导致河口鱼类组合的不可预测的差异:了解特定地点的生态和人为影响的基准

获取原文
获取原文并翻译 | 示例
           

摘要

Predicting patterns of abundance and composition of biotic assemblages is essential to our understanding of key ecological processes, and our ability to monitor, evaluate and manage assemblages and ecosystems. Fish assemblages often vary from estuary to estuary in apparently unpredictable ways, making it challenging to develop a general understanding of the processes that determine assemblage composition. This makes it problematic to transfer understanding from one estuary situation to another and therefore difficult to assemble effective management plans or to assess the impacts of natural and anthropogenic disturbance. Although system-to-system variability is a common property of ecological systems, rather than being random it is the product of complex interactions of multiple causes and effects at a variety of spatial and temporal scales. I investigate the drivers of differences in estuary fish assemblages, to develop a simple model explaining the diversity and complexity of observed estuary-to estuary differences, and explore its implications for management and conservation. The model attributes apparently unpredictable differences in fish assemblage composition from estuary to estuary to the interaction of species-specific, life history-specific and scale-specific processes. In explaining innate faunal differences among estuaries without the need to invoke complex ecological or anthropogenic drivers, the model provides a baseline against which the effects of additional natural and anthropogenic factors can be evaluated. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
机译:预测生物群落的丰度和组成模式对于我们对关键生态过程的理解以及我们监测,评估和管理群落和生态系统的能力至关重要。鱼群通常在河口之间以明显不可预测的方式变化,这使得对决定鱼群组成的过程的一般理解变得困难。这使得将理解从一种河口情况转移到另一种河口问题变得困难,因此难以制定有效的管理计划或评估自然和人为干扰的影响。尽管系统间的可变性是生态系统的共同属性,而不是随机的,但它是多种因果关系在各种时空尺度上复杂相互作用的产物。我调查河口鱼类组合差异的驱动因素,以建立一个简单的模型来解释观察到的河口与河口差异的多样性和复杂性,并探讨其对管理和保护的意义。该模型将不同河口的鱼类组合组成的差异归因于特定物种,特定生活史和特定规模过程的相互作用。在解释河口之间的先天动物区系差异而无需调用复杂的生态或人为驱动因素时,该模型提供了一个基准,可以据此评估其他自然和人为因素的影响。 Crown版权所有(C)2016,由Elsevier Ltd.发行。保留所有权利。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号